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  • All HBS Web  (1,789)
    • People  (9)
    • News  (318)
    • Research  (1,040)
    • Events  (15)
    • Multimedia  (10)
  • Faculty Publications  (859)
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  • May–June 2023
  • Article

Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut

By: Fabrizio Fantini and Das Narayandas
Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are... View Details
Keywords: Analytics and Data Science; Decision Making
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Fantini, Fabrizio, and Das Narayandas. "Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut." Harvard Business Review 101, no. 3 (May–June 2023): 82–91.
  • February 1974
  • Journal Article

Natural Selection of Life History Attibutes: An Analytical Approach

By: Robert S. Kaplan, Howard M. Taylor, Robert Gourley and Charles Lawrence
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Kaplan, Robert S., Howard M. Taylor, Robert Gourley, and Charles Lawrence. "Natural Selection of Life History Attibutes: An Analytical Approach." Theoretical Population Biology 5, no. 1 (February 1974).
  • May–June 2023
  • Article

Unmasking Behaviors During the Pandemic with Video Analytics

By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down viral transmission. People complied to varying extents, and their reactions may have been driven by a variety of psychological factors.... View Details
Keywords: COVID-19 Pandemic; Social Influence; Social Norms; Health Pandemics; Behavior
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Zhang, Shunyuan, Kaiquan Xu, and Kannan Srinivasan. "Unmasking Behaviors During the Pandemic with Video Analytics." Marketing Science 42, no. 3 (May–June 2023): 440–450.
  • September 1972
  • Article

An Analytical Derivation of the Efficient Portfolio Frontier

By: Robert C. Merton
Keywords: Investment
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Merton, Robert C. "An Analytical Derivation of the Efficient Portfolio Frontier." Journal of Financial and Quantitative Analysis 10 (September 1972): 1851–1872.
  • July 2015 (Revised October 2017)
  • Case

Podium Data: Harnessing the Power of Big Data Analytics

By: Lynda M. Applegate, Karim R. Lakhani and Nicole Bucala
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Applegate, Lynda M., Karim R. Lakhani, and Nicole Bucala. "Podium Data: Harnessing the Power of Big Data Analytics." Harvard Business School Case 816-007, July 2015. (Revised October 2017.)
  • September 1985 (Revised August 1992)
  • Background Note

Note on Marketing Data Diskettes and MAT (Marketing Analytical Tools)

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Kaufmann, Patrick J. "Note on Marketing Data Diskettes and MAT (Marketing Analytical Tools)." Harvard Business School Background Note 586-056, September 1985. (Revised August 1992.)
  • December 2020
  • Supplement

People Analytics at Teach For America (B) (Data Set)

By: Jeff Polzer
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Polzer, Jeff. "People Analytics at Teach For America (B) (Data Set)." Harvard Business School Spreadsheet Supplement 421-054, December 2020.
  • April 1989
  • Article

Untangling Unfamiliar 1988 Consolidated Statements: An Analytical Guide To Understanding

By: David F. Hawkins
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Hawkins, David F. "Untangling Unfamiliar 1988 Consolidated Statements: An Analytical Guide To Understanding." Accounting Bulletin (Drexel Burnham Lambert), no. 3 (April 1989).
  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
  • Winter 2016
  • Article

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Keywords: Internet and the Web; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry
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Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
  • September 2019
  • Case

Starling Trust Sciences: Measuring Trust in Organizations

By: Aiyesha Dey, Jonas Heese and James Weber
Stephen Scott needed to decide whether to keep his behavioral analytics startup in the people analytics sector or shift his company into the RegTech sector. Starling had develop technology that enabled its customers to anticipate and shape the behavior of their... View Details
Keywords: Behavioral Analytics; Financial Institutions; Banks and Banking; Entrepreneurship; Strategy; Banking Industry; Consulting Industry; Information Technology Industry; United States; United Kingdom
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Dey, Aiyesha, Jonas Heese, and James Weber. "Starling Trust Sciences: Measuring Trust in Organizations." Harvard Business School Case 120-006, September 2019.
  • 2010
  • Book

The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance

By: Marshall Fisher and Ananth Raman
Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain... View Details
Keywords: Profit; Knowledge Use and Leverage; Logistics; Supply Chain Management; Mathematical Methods; Retail Industry
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Fisher, Marshall, and Ananth Raman. The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance. Harvard Business Press, 2010.
  • 1970
  • Dissertation

Analytical Optimal Control Theory as Applied to Stochastic and Non-Stochastic Economics

By: Robert C. Merton
Keywords: Mathematical Methods; Economics
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Merton, Robert C. "Analytical Optimal Control Theory as Applied to Stochastic and Non-Stochastic Economics." Diss., Massachusetts Institute of Technology (MIT), 1970.
  • November 2019
  • Teaching Note

TSG Hoffenheim: Football in the Age of Analytics (A) and (B)

By: Feng Zhu, Sascha L. Schmidt, Karim R. Lakhani and Shirley Sun
Teaching Note for HBS Nos. 616-010 and 620-055. View Details
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Zhu, Feng, Sascha L. Schmidt, Karim R. Lakhani, and Shirley Sun. "TSG Hoffenheim: Football in the Age of Analytics (A) and (B)." Harvard Business School Teaching Note 620-067, November 2019.
  • June 2019
  • Teaching Note

Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics

By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
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Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics." Harvard Business School Teaching Note 619-071, June 2019.
  • June 2019
  • Supplement

Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics

By: Michael W. Toffel and Dan Levy
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Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics." Harvard Business School PowerPoint Supplement 619-717, June 2019.
  • June 2019
  • Teaching Note

Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics

By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
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Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics." Harvard Business School Teaching Note 619-044, June 2019.
  • March 2017 (Revised March 2022)
  • Case

Flashion: Art vs. Science in Fashion Retailing

By: Kris Ferreira and Karim R. Lakhani
Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
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Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
  • 01 Jan 1979
  • Conference Presentation

Developing a Financial Planning Model for An Analytic Review: A Feasibility Study

By: Robert S. Kaplan
Keywords: Financial Strategy; Management Analysis, Tools, and Techniques
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Kaplan, Robert S. "Developing a Financial Planning Model for An Analytic Review: A Feasibility Study." Paper presented at the Symposium on Audit Research, University of Illinois at Urbana-Champaign, Urbana, January 01, 1979.
  • 1989
  • Chapter

Analytic Themes of the U.S. Program on the Processes of International Negotiation

By: James K. Sebenius and Howard Raiffa
Keywords: Negotiation Process; International Relations; United States
Citation
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Sebenius, James K., and Howard Raiffa. "Analytic Themes of the U.S. Program on the Processes of International Negotiation." In Processes of International Negotiation, edited by Frances Mautner-Markhof, 293–303. Boulder, CO: Westview Press, 1989.
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